#InterSystems IRIS

Hello Developers! 👋
I’m excited to introduce IRIS IO Utility, my submission for the InterSystems "Bringing Ideas to Reality" Contest 2025. This VS Code extension provides you an intuitive and powerful interface for importing and exporting data without leaving your IDE. The extension implements and expand this idea submitted on the Ideas Portal turning a common developer need into a real tool: seamless IO operations with any IRIS instance directly inside VS Code.

In some cases, it's necessary to manipulate data from one namespace to another. For example, a routine in the "N1" namespace needs data from the "N2" namespace. In legacy systems (using only globals), it's common to make the global universal, but what about persistent classes? Is this type of globalization also possible?

The following regex is matching while I think it should not :

write$match("♥","\?") //print '1' (unexpected)

It should only match the '?' character. I think what happen is the ♥ character got converted to '?' (as it's not within regular ascii range) before being validated by the regex engine.

In fact, this give a clue about what happen : 

write$char($ascii("♥")) //print '?'

Is this an IRIS well known limitation, is there workarounds ? Should I report it to InterSystems ?

Hey Community!

We're happy to share a new video from our InterSystems Developers YouTube:

⏯  Smarter Table Statistics @ Ready 2025

Access IRIS Terminal Session using WebTerminal. I noticed that the $P or $PRINCIPAL system variable is defined as //./nul

When logging into Terminal via Management Portal, $P = |TRM||$J

Because of this, we cannot get into Programmers Mode via ^%SYS.PMODE

Any ideas?

InterSystems IRIS provides extensive configurable security options, yet many developers primarily use roles and resources to secure entire tables or routines. Today, we will delve deeper. We can also secure individual columns and rows separately, but these two mechanisms operate very differently. Let's begin with the columns.

Column Security

For testing and demonstration, we will keep our table structure concise and straightforward. We have a table called "Person" in the USER namespace that contains an ID column, a date of birth column (DOB), first name, and last name. 

There are a select few in the group that have been using Github as a Local Client push to a Repository setup in GitHub. Questions were brought up today about the security, and possible issues when it comes to data being pushed in this method.

Looking over code we have noticed that there is Histogram data within some of the class files that could be considered a security issue. Does anyone else have concerns with the Histogram data being within the class files pushed up to github?

There's a pattern I've encountered several times where I need to use a temp file/folder and have it cleaned up at some point later.

The natural thing to do here is to follow the patterns from "Robust Error Handling and Cleanup in ObjectScript" with a try/catch/pseudo-finally or a registered object to manage cleanup in the destructor. %Stream.File* also has a "RemoveOnClose" property that you can set - but use with care, as you could accidentally remove an important file, and this flag gets reset by calls to %Save() so you'll need to set it back to 1 after doing that.

There's one tricky case, though - suppose you need the temp file to survive in an enclosing stack level. e.g.:

Hi,

We're working on new capabilities to help you build Agents and AI applications faster with InterSystems IRIS. In order to better understand which entry points and development methodologies would help you most, we've created this brief survey: Building AI solutions with InterSystems IRIS. 

Filling it in should not take much more than 5 minutes, and your feedback on this exciting topic will help us fine tune our designs and prioritize the right features.

Thanks in advance!
benjamin
 

Security is fundamental to enterprise application development. InterSystems IRIS provides a comprehensive security framework that protects data, controls access, and ensures compliance. This guide introduces essential security features for developers new to IRIS, covering authentication, authorization, encryption, and practical implementation strategies.

In this final part of our introduction to Window Functions, we will explore the remaining functions that have not been covered yet. You will also discover performance tips and a practical guide to help you decide when (and when not) to use window functions effectively.

1. Offset and Positional Value Functions

Overview

These functions reference values are calculated from other rows relative to the current row, or they are extracted from the first, last, or nth values within a window.

We're excited to announce the Early Access Program for IntegratedML Custom Models, a powerful new capability coming in IRIS 2026.1!

What Is It?

In this article I will be discussing the use of an alternative LLM for generative IA. OpenIA is commonly used, in this article I will show you how to use it and the advantages of using Ollama

In the generative AI usage model that we are used to, we have the following flow:

• we take texts from a data source (a file, for example) and embedding that text into vectors
• we store the vectors in an IRIS database.
• we call an LLM (Large Language Model) that accesses these vectors as context to generate responses in human language.

The Load Data utility it is an excellent tool to load data from CSV/TXT files into an IRIS SQL Table, but it is required send the target file to the IRIS server and write the Load Data sentence to ingest the file content. Now it is possible select a file in VSCode, set the table destination and submit the request. The vscode-load-data utility will send the file to the IRIS server and run the Load Data command to you! Very simple:

Some time ago, I put together a small example to quickly deploy InterSystems IRIS instances connected via ECP using Docker.

Time passed and, like everything, it needed a bit of a refresh.

The InterSystems IRIS data platform underlies all InterSystems applications, as well as thousands of customer and partner applications across Healthcare, Financial Services, Supply Chain, and other ecosystems. It is a converged platform, providing transactional-analytical data management, integrated interoperability, and data integration, as well as integrated analytics and AI. It supports the InterSystems Smart Data Fabric approach to managing diverse and distributed data.

Overview

This release introduces major improvements to storage scalability and performance, a significant operating system upgrade across all offerings, and a new default version of the FHIR Server. Together, these updates enhance system reliability, flexibility, and security while ensuring long-term platform supportability.

New Features and Enhancements

Overview

Version 25.20.2 expands global availability, enhances Advanced Security flexibility, and widens Network Connect integrations. This release introduces support for additional regions, new application-aware security rules, and expanded connectivity options for critical InterSystems services.

New Features and Enhancements

Overview

Version 25.23.2 delivers targeted improvements to the Advanced Security UI and further streamlines the upgrade and update workflows across InterSystems Cloud offerings. These changes focus on clarity, efficiency, and operational excellence.

New Features and Enhancements

Overview

Version 25.24.1 delivers major enhancements to DNS capabilities, platform reliability, upgrade workflows, and developer experience. This release also includes key fixes and increases in platform limits to better support modern workloads.

New Features and Enhancements

Overview

This release focuses on performance optimization, improved security synchronization, and enhanced network management. The FHIR Server has been upgraded to a new version and migrated to ARM64, delivering significantly better efficiency and throughput. Additionally, several improvements enhance resiliency, subscription management, and network visibility.

New Features and Enhancements

In the previous article, we talked about ODBC and connecting from C#. And now, let's look at JDBC and Java. The InterSystems JDBC driver is the recommended, high-performance way to integrate your Java applications.

Here is a step-by-step guide to getting your Java application connected to an IRIS instance using the JDBC driver.

Step 1: Obtain and Include the InterSystems IRIS JDBC Driver

Unlike ODBC drivers, which are often installed system-wide, JDBC drivers are typically distributed as JAR files that must be included in your Java project's classpath.

If InterSystems IRIS is installed on your local machine or another you have access to, you can find the file in install-dir/dev/java/lib/ or similar, where install-dir is the installation directory for the instance. Conversely, you can download the jar file from Driver packages page.

Or as suggested by @Dmitry Maslennikov in the comments, use the maven central repository for Maven:

<dependency><groupId>com.intersystems</groupId><artifactId>intersystems-jdbc</artifactId><version>3.10.5</version></dependency>

or for Gradle:

implementation("com.intersystems:intersystems-jdbc:3.10.5")

Include the jar file in Project:

• Maven/Gradle: If you use a build tool, the simplest method is to add the InterSystems JDBC driver as a dependency in your pom.xml or build.gradle file. This automatically downloads and manages the JAR.
• Manual: For simple projects, you must place the JAR file in a project directory (e.g., /lib) and explicitly add it to your classpath when compiling and running.

I am working on building out a Workflow task that captures errors in mapping to specific tables. Within the Workflow task, I would like to give the owner of the task the ability to resubmit message once the mapping has been corrected. Is there a way to do it in a similar fashion to pulling up the Trace ie...

EnsPortal.VisualTrace.zen?SESSIONID=#(%task.%FormValues.GetAt("MsgHdrID"))#" target="_blank">View Message Trace

Is there a one liner that could be called to resubmit the MsgHdrID (Session ID) from its source to post it again?

Introduction and Motivation

A unit of ObjectScript code (a ClassMethod, say) may produce a variety of unexpected side effects by interacting with parts of the system outside of its own scope and not properly cleaning up. As a non-exhaustive list, these include:

• Transactions
• Locks
• I/O devices
• SQL cursors
• System flags and settings
• $Namespace
• Temporary files

Hey Community!

We're happy to share a new video from our InterSystems Developers YouTube:

⏯  Query Optimization in Hybrid Databases @ Ready 2025

When using standard SQL or the object layer in InterSystems IRIS, metadata consistency is usually maintained through built-in validation and type enforcement. However, legacy systems that bypass these layers—directly accessing globals—can introduce subtle and serious inconsistencies.

Has anyone been able to successfully implement a business service to pull files from Azure Blob storage?

In Part 1, we explored how window functions operate. We learned the logic behind PARTITION BY, ORDER BY, and such functions as ROW_NUMBER() and RANK(). Now, in Part 2, let's delve into more window functions with practical examples.

1. Aggregate-over-Window Functions

Overview

These functions compute an aggregate (e.g., sum, average, min, max, count, etc.) over the defined window frame but don’t collapse rows.
Each row remains visible, augmented with aggregated values for its partition.

Supported functions include the following:

Hey Developers,

Enjoy the new video on InterSystems Developers YouTube

⏯ Integrating AI Agents into InterSystems IRIS - Patterns and Techniques @ READY 2025

Parallel query hinting boosts certain query performances on multi-processor systems via parallel processing. The SQL optimizer determines when this is beneficial. On single-processor systems, this hint has no effect.

Parallel processing can be managed by:

1.  Setting the auto parallel option system-wide.
   

2. Using the %PARALLEL keyword in the FROM clause of specific queries.
   

%PARALLEL is ignored when it applied to: